HeyTensor

Free PyTorch tensor shape calculator, layer output debugger, and deep learning architecture explorer.

HeyTensor is a browser-based tensor shape calculator for deep learning practitioners. Compute output shapes for 14+ PyTorch and TensorFlow layer types, chain layers together to trace shapes through entire architectures, and debug PyTorch RuntimeErrors by pasting real stack traces. Built for ML engineers, researchers, and students who want instant answers without spinning up a Python kernel.

Features

Single-layer shape calculator for 14+ PyTorch layer types (Conv2d, Linear, LSTM, GRU, MultiheadAttention, BatchNorm, MaxPool2d, Flatten, Embedding, ConvTranspose2d, and more)
Chain mode for tracing tensor shapes through multi-layer neural network architectures
Paste Error mode that parses PyTorch RuntimeErrors and suggests targeted fixes
Architecture presets for LeNet-5, ResNet blocks, and Transformer encoders
Detailed formula display for every output dimension calculation
Model parameter counter and GPU memory estimator
Activation, loss function, and optimizer reference library
Einsum notation calculator for advanced tensor operations
100% client-side — no data leaves your browser
MIT licensed
No signup, no tracking

Tools

Tool	Description
Conv2d Calculator	Calculate Conv2d output shapes with stride, padding, and dilation
Conv1d Calculator	Calculate Conv1d output shapes for sequence models
ConvTranspose2d Calculator	Transposed convolution output shapes for decoders
Linear Layer Calculator	nn.Linear input and output dimension checker
LSTM Shape Calculator	LSTM and GRU output shapes with hidden state dimensions
MultiHead Attention Calculator	Transformer attention layer output shapes
MaxPool2d Calculator	Max pooling output shape calculator
BatchNorm Calculator	Batch normalization shape checker
Flatten Calculator	Flatten operation output shape
Embedding Calculator	nn.Embedding output shape for NLP models
mat1 and mat2 Shapes Fix	Debug matrix multiplication shape errors
Shape Mismatch Debugger	Diagnose tensor shape mismatch runtime errors
view size not compatible Fix	Fix PyTorch view and reshape errors
CUDA Out of Memory	Diagnose and resolve GPU OOM errors
Einsum Calculator	Einstein summation notation helper
Activation Functions	ReLU, GELU, Sigmoid, Tanh, and more reference
Loss Functions	Cross-entropy, MSE, and other loss function reference
Optimizers	Adam, SGD, AdamW optimizer comparison
Parameter Counter	Count trainable parameters in your model
Memory Calculator	Estimate GPU memory usage for training

Research

The 20 Most Common PyTorch Errors — Common PyTorch errors ranked by frequency with fixes
PyTorch Error Database — 50+ real PyTorch errors analyzed from Stack Overflow
PyTorch Error Statistics — What goes wrong most often in PyTorch training

Tech Stack

Pure HTML, CSS, and vanilla JavaScript
No build step
No external dependencies (except Google Fonts on some pages)
Hosted on GitHub Pages with Cloudflare CDN

Part of Zovo Tools

HeyTensor is part of Zovo Tools — free developer tools by a solo developer. No tracking, no signup, no nonsense.

Other tools in the network:

EpochPilot — Timestamp, timezone, and cron tools
KappaKit — Developer toolkit (Base64, JWT, hash, regex)
LochBot — Prompt injection vulnerability checker
ABWex — A/B test significance calculator
KickLLM — LLM cost calculator
Gen8X — Color palette generator with WCAG checks
GPT0X — AI model database
ML3X — Matrix calculator
ML0X — Machine learning cheat sheet generator
Enhio — Text enhancement utilities
Krzen — Image compression
Kappafy — JSON formatter and explorer
LockML — Open source ML model comparison
InvokeBot — Webhook testing
ClaudHQ — Claude prompt library
ClaudKit — Claude API utilities
ClaudFlow — AI workflow builder

License

MIT licensed.

Contact

Built and maintained by Michael Lip. For questions or feedback: support@zovo.one